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واسنجی و اعتبارسنجی مدل رشد گیاهی WOFOSTبرای گندم در دشت قزوین | ||
تحقیقات آب و خاک ایران | ||
مقاله 6، دوره 50، شماره 2، خرداد و تیر 1398، صفحه 329-338 اصل مقاله (610.62 K) | ||
نوع مقاله: مقاله پژوهشی | ||
شناسه دیجیتال (DOI): 10.22059/ijswr.2018.259242.667928 | ||
نویسندگان | ||
مریم احمدی* 1؛ عبدالرحیم هوشمند*2؛ سعید برومندنسب3؛ محمد علی شریفی4 | ||
1دانشجوی دکتری گروه آبیاری و زهکشی دانشکده علوم آب دانشگاه شهید چمران اهواز، اهواز، ایران | ||
2دانشیار گروه آبیاری و زهکشی دانشکده علوم آب دانشگاه شهید چمران اهواز، اهواز، ایران | ||
3استاد گروه آبیاری و زهکشی دانشکده علوم آب دانشگاه شهید چمران اهواز، اهواز، ایران | ||
4دانشیار گروه ITC دانشگاه توئنت، انچد، هلند | ||
چکیده | ||
این مطالعه با هدف واسنجی و اعتبارسنجی مدل WOFOST برای گندم زمستانه در دشت قزوین انجام گرفت. ابتدا مدل براساس تاریخهای فنولوژیکی برداشتشده در سال زراعی 1396-1395 واسنجی شد. سپس براساس اطلاعات چهار سال زراعی اعتبارسنجی گردید. واسنجی مدل با استفاده از شاخص سطح برگ، عملکرد بیولوژیک و عملکرد دانه ازنظر فیزیولوژیکی انجام گردید. مدل تاریخ گلدهی و رسیدن را با دقت 11 و 4 روز شبیهسازی کرد. نتایج شبیهسازی برازش قابل قبولی با دادههای مشاهدهای نشان داد. پس از واسنجی، مدل عملکرد دانه، بیولوژیک و شاخص سطح برگ را به ترتیب با خطای 05/12، 1/11 و 4/15 درصد شبیهسازی کرد. بر اساس نتایج بدست آمده مدل کلیه مقادیر را کمتر از مقدار مزرعهای برآورد نمود (CRM<0). مدل بیشترین کارایی (d) را در برآورد شاخص سطح برگ (98/0(d= داشت. پس از آن مدل عملکرد دانه و بیولوژیک را به ترتیب با کارایی 95/0 و 94/0 شبیهسازی کرد. کمترین مقدار ضریب تعیین (CD) برای عملکرد بیولوژیک بدست آمده که نشاندهنده بیشترین پراکندگی بین نتایج مدل و دادههای اندازهگیری است. | ||
کلیدواژهها | ||
شبیهسازی رشد؛ تاریخهای فنولوژیکی؛ بیومس؛ عملکرد دانه | ||
عنوان مقاله [English] | ||
Calibration and Validation of WOFOST Model for Wheat in Qazvin Plain | ||
نویسندگان [English] | ||
Maryam Ahmadi1؛ Abdul Rahim Hooshmand2؛ Saeed BoroomandNasab3؛ Mohammad Ali Sharifi4 | ||
1Phd student, Irrigation and drainage department, Water engineering faculty, Shaid Chamran University, Ahwaz, Iran | ||
2Associate professor, Irrigation and drainage department, Water engineering faculty, Shaid Chamran University, Ahwaz, Iran | ||
3Professor, Irrigation and drainage department, Water engineering faculty, Shaid Chamran University, Ahwaz, Iran | ||
4Associate professor Department of Urban-Regional Planning and Geo-Information Management, Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, Netherland | ||
چکیده [English] | ||
This study was carried out to calibrate and validate the WOFOST model for winter wheat in Qazvin plain. Firstly, the model was calibrated based on the phenological data obtained from the field experiment during the year 2016-2017. Then the model was validated based on the four years field data. After that the model recalibrated in terms of physiological aspects using leaf area index, biomass and crop yield. The model simulated flowering and maturity dates with 11 and 4 days accuracy (RMSE). The simulation results showed an acceptable fitness with the observation data. After calibration, the root mean square errors (NRMSE) of simulated model were estimated to be 12.05, 11.1 and 15.4% for yield, biomass and leaf area index, respectively. Based on the obtained results, the model was estimated all the proposed parameters less than the field data (CRM<0). The highest model efficiency was obtained for leaf area index. After that the model efficiencies were 0.95 and 0.94 for crop yield and biomass, respectively. The lowest value for determination coefficient (CD) was obtained for biomass, showing the largest dispersion between simulation and measurements values. | ||
کلیدواژهها [English] | ||
Crop Growth Simulation, Phenological Dates, Biomass, Crop Yield | ||
مراجع | ||
Ahmadi, M., Farhadi Bansouleh, B. and Ghobadi, M.(2014). Spatial and Temporal Variations of Barley Yield under Deficit Irrigation Management (Case study: Kermanshah province, Mahidasht region). Water and Soil Science, 23(4), 19-32.(In Farsi) Ahmadi, M., Hooshmand, A.R., Nasab, S.B. and Sharifi, M.A. (2018). Sensitivity analysis of crop growth simulation model performance to crop and weather input data. Internashional Journal Agronony Agricalture Research. , 12(5), 72-84. Ahmadvand, M.r. and Najafpur, Z.a. (2010). Investigation of cultivation surface, , production and supportive policies of wheat During the first to fourth development plans. 2Quarterly Journal of Economic Research and Policies, 18(53): 59-76. Amiri, E. (2016). Assessment of CERES-Wheat Model in simulation of varieties of wheat yield under different irrigation treatments. Journal of Soil and Water Resources Conservation, 5(3): 73-85. Boogaard, H., Wolf, J., Supit, I., Niemeyer, S. and van Ittersum, M. (2013). A regional implementation of WOFOST for calculating yield gaps of autumn-sown wheat across the European Union. Field Crops Research, 143: 130-142. Boogaard, H.L., Van Diepen, C.A., Rötter, R.P., Cabrera, J.M.C.A. and Van Laar, H.H. (1998). User's Guide for the WOFOST 7.1 Crop Growth Simulation Model and WOFOST Control Center 1.5 Technical Document 52, Winand Staring Centre, Wageningen, the Netherlands. Boon-Prins, E.R. (1993). Crop specific simulation parameters for yield forecasting across the European Community. Confalonieri, R. (2006). Exploratory sensitivity analysis of cropsyst, warm and wofost: a case-study with rice biomass simulations Italian Journal of Agrometeorology 17(25(3)): 17-25. Djaby, B., Wit, A.d., Kouadio, L., Jarroudi, M.E. and Tychon, B.(2013). Spatial Distribution of Calibrated WOFOST Parameters and Their Influence on the Performances of a Regional Yield orecasting System. 2013, 2(4). FAO (Food and Agriculture Organization) (2017). Country Analysis. Jouly 04, 2018, from http://www.fao.org. Farhadi, B.B. (2009). Development of a spatial planning support system for agricultural policy formulation related to land and water resources in Borkhar & Meymeh district, Iran. Wageningen University, Phd Thesis: 279. Gilardelli, C., Confalonieri, R., Cappelli, G.A. and Bellocchi, G. (2018). Sensitivity of WOFOST-based modelling solutions to crop parameters under climate change. Ecological Modelling, 368: 1-14. Kroes, J., van Dam, J., Huygen, J. and Vervoort, R. (1999). User’s guide of SWAP version 2.0: Simulation of water, solute transport, and plant growth in the soil–atmosphere–plant environment. Rep. Kroes, J.G. and Supit, I. (2011). Impact analysis of drought, water excess and salinity on grass production in The Netherlands using historical and future climate data. Agriculture, Ecosystems & Environment, 144(1): 370-381. Liyuan, W., Jingfeng, H., Ping, G. and Hongyan, W. (2017). Estimating winter wheat yield by assimilation of MODIS LAI into WOFOST model with Ensemble Kalman Filter, 6th International Conference on Agro-Geoinformatics. IEEE, Fairfax, VA, USA. Loague, K. and Green, R.E. (1991). Statistical and graphical methods for evaluating solute transport models: Overview and application. Journal of Contaminant Hydrology, 7(1): 51-73. Ma, G. et al., 2013. Assimilation of MODIS-LAI into the WOFOST model for forecasting regional winter wheat yield. Mathematical and Computer Modelling, 58(3): 634-643. Mishra, , S.K., Shekh, A. M., Yadav, S.B., Kumar, A., Patel, G.G., Pandey, V. and Patel, H. R.(2013). Simulation of growth and yield of four wheat cultivars using WOFOST model undermiddle Gujarat region. Journal of Agrometeorology, 15(1): 43-50. Palosuo, T., Kersebaum, K.C., Angulo, C., Hlavinka, P., Moriondo, M., Olesen, J.E., Patil, R.H., Ruget, F., Rumbaur, C., Takáč, J. and Trnka, M. (2011). Simulation of winter wheat yield and its variability in different climates of Europe: A comparison of eight crop growth models. European Journal of Agronomy, 35(3): 103-114. Rötter, R.P., Palosuo, T., Kersebaum, K.C., Angulo, C., Bindi, M., Ewert, F., Ferrise, R., Hlavinka, P., Moriondo, M., Nendel, C. and Olesen, J.E. (2012). Simulation of spring barley yield in different climatic zones of Northern and Central Europe: A comparison of nine crop models. Field Crops Research, 133: 23-36. Shekhar, C., Singh, D., Singh, R. and Rao, V. (2008). Prediction of wheat growth and yield using WOFOST model. Journal of Agrometeorology (Special issue-Part 2), 400: 402. Supit, I., Hooijer, A.A., Diepen, V. and (Eds.), C.A. (1994) .System Description of the WOFOST0.6 Crop Simulation Model Implemented in CGMS, European Communities (EUR15956EN), Luxembourg. van Diepen, C.A., Wolf, J., van Keulen, H. and Rappoldt, C.(1989). WOFOST: a simulation model of crop production. Soil Use and Management, 5(1): 16-24. Vazifedoust, M. (2007). Development of an agricultural drought assessment system: integration of agrohydrological modelling, remote sensing and geographical information. Wageningen University, Phd Thesis: 171. Willmott, C.J.(1981). On the validation of models. Physical Geography, 2(2): 184-194. Wit, A.d., 2017. PCSE Documentation Release 5.3, wageningen university and research, Netherland. Wolf, J., 2003. Calibration of WOFOST crop growth simulation model for use within CGMS. Modified by Allard de Wit (2010), Wageningen university and research (http:// www. wofost. wur. nl): 38. Zhou, J., Cheng, G., Li, X., Hu, B.X. and Wang, G.(2012). Numerical Modeling of Wheat Irrigation using Coupled HYDRUS and WOFOST Models. Soil Science Society of America Journal, 76(2): 648-662. | ||
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